
The Any2Any framework effectively addresses the challenge of retrieving multimodal data with missing modalities by employing cross-modal encoders and a two-stage conformal prediction process to enable accurate comparisons and retrieval across diverse datasets.


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any2any-a-novel-framework-for-multimodal-retrieval-with-incomplete-data-using-conformal-prediction


Any2Any: A Novel Framework for Multimodal Retrieval with Incomplete Data Using Conformal Prediction


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This paper introduces MM-Embed, a novel approach leveraging multimodal large language models (MLLMs) to advance universal multimodal retrieval, enabling diverse retrieval tasks with multimodal queries and documents.


mm-embed-enhancing-multimodal-retrieval-with-multimodal-large-language-models


MM-Embed: Enhancing Multimodal Retrieval with Multimodal Large Language Models
